Results 121 to 130 of about 505,001 (337)
ABSTRACT Objectives Repetitive transcranial magnetic stimulation (rTMS) is a non‐invasive brain stimulation strategy with a demonstrated potential to reinforce the residual pathways after a spinal cord injury (SCI). A preclinically tested high‐frequency (15 Hz) rTMS (15 Hz rTMS) protocol was shown to induce corticospinal tract axon regeneration growth ...
Nabila Brihmat +8 more
wiley +1 more source
<title>Multichannel image identification and restoration using the expectation-maximization algorithm</title> [PDF]
Brian C. Tom, Aggelos K. Katsaggelos
openalex +1 more source
Moyamoya Disease and the Risk of Parkinson's Disease
ABSTRACT Objectives Moyamoya disease (MMD) is a rare cerebrovascular disorder characterized by the progressive narrowing of arteries at the base of the brain, forming abnormal collateral vascular networks. While vascular parkinsonism is noted in MMD, its link to Parkinson's disease (PD) has not been explored.
Dallah Yoo +9 more
wiley +1 more source
HST Image Restoration: Current Capabilities and Future Prospects [PDF]
R. J. Hanisch, R. L. White
openalex +1 more source
Purkinje Cell Loss in Essential Tremor: Collective Data From 215 Brains Over a 21‐Year Period
ABSTRACT Objective Essential tremor is a highly prevalent movement disorder. Pathological changes observed in essential tremor cerebella center around Purkinje cells and neighboring neuronal populations. Postmortem studies have variably, but not always, shown reduced Purkinje cell counts in essential tremor compared to controls.
Chloë A. Kerridge +4 more
wiley +1 more source
Efficient Hybrid Network with Prompt Learning for Multi-Degradation Image Restoration
Image restoration aims to repair degraded images. Traditional image restoration methods have limited generalization capabilities due to the difficulty in dealing with different types and levels of degradation. On the other hand, contemporary research has
Muhammad Yusuf Kardawi +1 more
doaj +1 more source
Restoration of blurred star field images by maximally sparse optimization [PDF]
Brian D. Jeffs, M. Gunsay
openalex +1 more source
Equivariant Denoisers for Image Restoration
One key ingredient of image restoration is to define a realistic prior on clean images to complete the missing information in the observation. State-of-the-art restoration methods rely on a neural network to encode this prior. Moreover, typical image distributions are invariant to some set of transformations, such as rotations or flips.
Renaud, Marien +2 more
openaire +3 more sources
ABSTRACT Objective Natalizumab (NTZ) is a highly effective therapy for multiple sclerosis (MS); however, its use is limited by the risk of a rare potentially severe opportunistic brain infection, progressive multifocal leukoencephalopathy (PML). Alternative dosing strategies are evaluated to reduce PML risk while still maintaining efficacy, which ...
Regina Berkovich +10 more
wiley +1 more source
Graph Convolutional Network for Image Restoration: A Survey
Image restoration technology is a crucial field in image processing and is extensively utilized across various domains. Recently, with advancements in graph convolutional network (GCN) technology, methods based on GCNs have increasingly been applied to ...
Tongtong Cheng +3 more
doaj +1 more source

